Learning to Infer Shape Programs Using Latent Execution Self Training. - Homer Walke; R. Kenny Jones; Daniel Ritchie (CoRR, 2020)

ShapeAssembly: learning to generate programs for 3D shape structure synthesis. - R. Kenny Jones; Theresa Barton; Xianghao Xu; Kai Wang 002; Ellen Jiang; Paul Guerrero 001; Niloy J. Mitra; Daniel Ritchie (ACM Trans. Graph., 2020)

The Neurally-Guided Shape Parser: A Monte Carlo Method for Hierarchical Labeling of Over-segmented 3D Shapes. - R. Kenny Jones; Rana Hanocka; Daniel Ritchie (CoRR, 2021)

Learning Body-Aware 3D Shape Generative Models. - Bryce Blinn; Alexander Ding; Daniel Ritchie; R. Kenny Jones; Srinath Sridhar 002; Manolis Savva (CoRR, 2021)

ShapeMOD: macro operation discovery for 3D shape programs. - R. Kenny Jones; David Charatan; Paul Guerrero 001; Niloy J. Mitra; Daniel Ritchie (ACM Trans. Graph., 2021)

The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. - R. Kenny Jones; Aalia Habib; Rana Hanocka; Daniel Ritchie (CVPR, 2022)

PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. - R. Kenny Jones; Homer Walke; Daniel Ritchie (CVPR, 2022)

SHRED: 3D Shape Region Decomposition with Learned Local Operations. - R. Kenny Jones; Aalia Habib; Daniel Ritchie (ACM Trans. Graph., 2022)

Improving Unsupervised Visual Program Inference with Code Rewriting Families. - Aditya Ganeshan; R. Kenny Jones; Daniel Ritchie (ICCV, 2023)

Neurosymbolic Models for Computer Graphics. - Daniel Ritchie; Paul Guerrero 001; R. Kenny Jones; Niloy J. Mitra; Adriana Schulz; Karl D. D. Willis; Jiajun Wu 001 (Comput. Graph. Forum, 2023)

ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives. - R. Kenny Jones; Paul Guerrero 001; Niloy J. Mitra; Daniel Ritchie (ACM Trans. Graph., 2023)

Learning to Infer Generative Template Programs for Visual Concepts. - R. Kenny Jones; Siddhartha Chaudhuri; Daniel Ritchie (ICML, 2024)

Learning to Edit Visual Programs with Self-Supervision. - R. Kenny Jones; Renhao Zhang; Aditya Ganeshan; Daniel Ritchie (NeurIPS, 2024)

Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases. - Rio Aguina-Kang; Maxim Gumin; Do Heon Han; Stewart Morris; Seung Jean Yoo; Aditya Ganeshan; R. Kenny Jones; Qiuhong Anna Wei; Kailiang Fu; Daniel Ritchie (CoRR, 2024)

ParSEL: Parameterized Shape Editing with Language. - Aditya Ganeshan; Ryan Y. Huang; Xianghao Xu; R. Kenny Jones; Daniel Ritchie (ACM Trans. Graph., 2024)

ShapeLib: designing a library of procedural 3D shape abstractions with Large Language Models. - R. Kenny Jones; Paul Guerrero 001; Niloy J. Mitra; Daniel Ritchie (CoRR, 2025)

Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation. - Maxim Gumin; Do Heon Han; Seung Jean Yoo; Aditya Ganeshan; R. Kenny Jones; Rio Aguina-Kang; Stewart Morris; Daniel Ritchie (CoRR, 2025)

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples. - Junyu Liu; R. Kenny Jones; Daniel Ritchie (CoRR, 2025)